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Optimal land-use allocation using MCDM and SWAT for the Hablehroud Watershed, Iran
Land Use Policy ( IF 6.189 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.landusepol.2020.104930
Amin Arjomandi , Seyed Abolghasem Mortazavi , Sadegh Khalilian , Arash Zare Garizi

Abstract The watershed, a dynamic and integrated social, economic, and biological system, plays an important role in the growth and development of the economy. Watersheds as a basis to support natural life and human activities have been heavily damaged over the past few centuries. One of the major causes of which is the inappropriate land-use allocation. Studies on land-use allocation mostly investigate optimization methods apart from each other but combining different approaches and comparing outcomes of different methods seems to be more helpful, especially for the decision-makers in a watershed. Hablehroud watershed as an important agricultural production region in Iran has been facing different ecological and economic problems during recent decades. Therefore, the current study aimed to determine the optimal land-use allocation according to the economic, social, and environmental criteria in the Hablehroud watershed using multi-criteria decision-making (MCDM) method. The optimal land-use solutions were obtained using the weighted goal programming (WGP), lexicographic goal programming (LGP), and compromise programming (CP) methods. The results indicated that after the optimization, in all the scenarios (economic, neutral and environmental), the average values of the environmental criteria decreased 66 % in WGP, 65 % in LGP and 66.6 % in CP and the social criterion increased 62 % in WGP, 82 % in LGP, and 46.3 % in CP. The values of the economic criteria (profit) increased 2% in WGP, 21 % in LGP and 6% (on average) in CP, only in the economic scenario. However, the economic scenarios showed a better results in all of the methods, based on which the recommendations were made to improve watershed management policies based on the optimal land-use patterns.

中文翻译:

使用 MCDM 和 SWAT 为伊朗 Hablehroud 流域优化土地利用分配

摘要 流域是一个动态的、综合的社会、经济和生物系统,在经济增长和发展中发挥着重要作用。在过去的几个世纪里,作为支持自然生命和人类活动的基础的流域遭到严重破坏。造成土地利用分配不当的主要原因之一。土地利用分配的研究大多是对优化方法的研究,但将不同的方法结合起来,比较不同方法的结果似乎更有帮助,尤其是对流域的决策者。Hablehroud 流域作为伊朗重要的农业产区,近几十年来一直面临着不同的生态和经济问题。所以,目前的研究旨在使用多标准决策 (MCDM) 方法根据 Hablehroud 流域的经济、社会和环境标准确定最佳土地利用分配。使用加权目标规划 (WGP)、词典目标规划 (LGP) 和折衷规划 (CP) 方法获得最佳土地利用解决方案。结果表明,优化后,在所有场景(经济、中性和环境)中,WGP中环境标准的平均值降低了66%,LGP中降低了65%,CP中降低了66.6%,社会标准提高了62%。 WGP,LGP 为 82%,CP 为 46.3%。仅在经济情景中,经济标准(利润)的值在 WGP 中增加了 2%,在 LGP 中增加了 21%,在 CP 中增加了 6%(平均)。然而,
更新日期:2021-01-01
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